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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3832
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    Explanations

    names or references related to a specific person or entity called "Da"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.95
    sburg
    -0.80
    ship
    -0.76
    tions
    -0.72
    eele
    -0.72
    hetti
    -0.70
    ULAR
    -0.70
    dal
    -0.69
    rations
    -0.68
    lessly
    -0.67
    POSITIVE LOGITS
    isy
    1.25
    ft
    1.06
    emon
    1.01
    uthor
    0.98
    emonic
    0.97
    ivari
    0.96
    quer
    0.95
    iley
    0.92
    uman
    0.91
    qu
    0.90
    Activations Density 0.027%

    No Known Activations